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Documentation, deployment and extension of a versatile and rapidly econfigurable UAV GNC research platform.

机译:多功能,可快速配置的无人机GNC研究平台的文档,部署和扩展。

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摘要

In 2009, the Santa Cruz Low-cost UAV GNC System (SLUGS) was implemented at the Autonomous Systems Laboratory at the University of California, Santa Cruz. SLUGS is a full-featured, open source autopilot that is available under an MIT open source license.;The autopilot system fits a very precise niche in UAV research, setting it apart from other open source autopilots; SLUGS is the first known UAV guidance system designed to be rapidly reconfigurable, easily extendable and research oriented. The unique benefits of SLUGS are made possible through the use of MATLAB/Simulink for flight code, Lubin Kerhuel's dsPIC blockset for code generation, and a three-tier testing method: simulation, hardware-in-the-loop (HIL) and flight.;Currently, SLUGS has several problems: a steep learning curve, assumption of inherent knowledge and scattered hardware. This investigation's purpose is to reduce these challenges, and to make SLUGS accessible to a CE/EE/CS engineer. The goals are to have SLUGS completely tested, documented, and deployed. Ideally, a student can become familiar with the system in a small amount of time, and use SLUGS for effective UAV research.;The methodology will include application of software engineering principles such as unit testing, documentation and revision control.;In addition, SLUGS will be extended by adding a custom designed airframe to its stable of flyable planes. This will be done using software that computes the stability derivatives for the new airframe. The derivatives will then be fed into the MATLAB/Simulink blocks that make up the autopilot code.
机译:2009年,圣克鲁斯低成本无人机GNC系统(SLUGS)在加利福尼亚大学圣克鲁斯大学的自主系统实验室实施。 SLUGS是功能齐全的开源自动驾驶仪,可在MIT开源许可下获得。自动驾驶仪系统非常适合无人机研究中的特定领域,将其与其他开源自动驾驶仪区分开。 SLUGS是第一个已知的无人机制导系统,旨在快速重新配置,易于扩展和面向研究。通过将MATLAB / Simulink用于飞行代码,将Lubin Kerhuel的dsPIC块集用于代码生成以及三层测试方法,可以使用SLUGS的独特优势,即三层测试方法:仿真,硬件在环(HIL)和飞行。目前,SLUGS存在几个问题:陡峭的学习曲线,固有知识的假设和分散的硬件。这项调查的目的是减少这些挑战,并使CE / EE / CS工程师可以访问SLUGS。目标是对SLUGS进行完整的测试,记录和部署。理想情况下,学生可以在短时间内熟悉该系统,并使用SLUGS进行有效的无人机研究。该方法论应包括应用软件工程原理,例如单元测试,文档编制和版本控制。将在其稳定的可飞行飞机上添加定制设计的机体,以进行扩展。这将使用计算新机体稳定性导数的软件来完成。然后将导数输入构成自动驾驶仪代码的MATLAB / Simulink块中。

著录项

  • 作者

    Toepke, Samuel Lee.;

  • 作者单位

    University of California, Santa Cruz.;

  • 授予单位 University of California, Santa Cruz.;
  • 学科 Engineering Computer.;Engineering Robotics.
  • 学位 M.S.
  • 年度 2012
  • 页码 101 p.
  • 总页数 101
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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